Compare the Top Real-Time Analytic Databases that integrate with OpenAI as of November 2025

This a list of Real-Time Analytic Databases that integrate with OpenAI. Use the filters on the left to add additional filters for products that have integrations with OpenAI. View the products that work with OpenAI in the table below.

What are Real-Time Analytic Databases for OpenAI?

Real-time analytics databases are database systems that enable businesses to access and analyze data in near real-time. These systems allow companies to make decisions quickly based on up-to-date information, rather than relying on periodic reports from other databases. Real-time analytic databases typically have powerful processors capable of handling complex queries and vast amounts of data. They also support modern features such as distributed computing, automated data management, secure sharing of sensitive information, and elastic scalability. Such advanced capabilities help organizations gain deeper insights into their customers' behavior so they can take appropriate action swiftly. Compare and read user reviews of the best Real-Time Analytic Databases for OpenAI currently available using the table below. This list is updated regularly.

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    TigerData

    TigerData

    TigerData

    TigerData is a high-performance, cloud-native PostgreSQL platform built for real-time analytics, time-series processing, vector workloads and intelligent agent-driven applications. It retains full SQL compatibility while delivering exceptional speed and scale: the platform powers millions of databases, supports streaming data across devices and applications, and enables organizations to consolidate transactional and analytical workloads in a single engine. TigerData enhances PostgreSQL with extensions and execution optimizations that provide low-latency queries, high-concurrency insert rates, hybrid operational/analytical use cases and vector embedding support for AI-driven workloads. Developers gain simplicity and reliability by staying within PostgreSQL’s ecosystem, familiar tools, connectors and syntax, while unlocking performance on par with purpose-built time-series or vector engines.
    Starting Price: $30 per month
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